EmbeddingGemma 2
EmbeddingGemma 2 is a released general LLM work model with open-source; evaluate it while provider pricing coverage matures.
- Family
- EmbeddingGemma
- Released
- 2026-10-06
- Context
- 8k
- Parameters
- 740M
- Specialization
- embedding
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Weights
- Available
- Code
- Unknown
- Training
- Pretrained
No tracked provider token pricing is available yet.
About
EmbeddingGemma 2 is Google DeepMind's open-weight multimodal embedding model, released October 6, 2026. It maps text (including code), images, video, and audio into a single 768-dimensional vector space, with Matryoshka truncation to 512, 256, or 128 dimensions. It has 740M total parameters: a 270M text backbone plus optional vision (170M) and audio (300M) encoders that can be left unloaded for text-only use. Context is 8,192 tokens shared across modalities, and it covers 100+ languages. Built on the Gemma 4 architecture and released under Apache 2.0 for on-device and edge retrieval.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
API versions
google/embeddinggemma-2No tracked provider token pricing is available yet.